Beginning with an exploration of Pandas and its historical context! Alessandro Romano, Senior Data Scientist at Kuehne+Nagel, is examining Polars!
Category - Data Management
Soaring through the Blue Skies of Aviation Data – Mina Boström Nakicenovic, Flightradar24
Let’s dive into blue skies and explore together a wonderful world of aviation data. In this session at the Data Innovation Summit 2024, we have Mina Boström Nakicenovic, Chief Technology Officer at Flightradar24!
Build Trust in Data through Automatable Data Contracts – Max Schultze, HelloFresh
High quality data is the backbone for data-driven decision-making. Unfortunately, today, we often focus on technical complexity and rarely define clear expectations towards the data we process.
Electrolux Continuing Journey to Data-Driven Manufacturing Excellence – Interview with Klaas Dobbelaere, Electrolux
During this interview, we had the pleasure of speaking with Klaas Dobbelaere, IIoT & Equipment Connectivity Director at Electrolux Group! In this interview, we discuss key aspects of Electrolux's journey towards data...
Role of AI in Data Management Evolution – Interview with Rakesh Singh, ABN AMRO Bank N.V.
In an interview, we had the chance to speak with Rakesh Singh, Data professional with 15 years of experience primarily focused on data management, data integration, data engineering, data governance, and data analytics.
Data Integrity Trends: Panel with Precisely and Drexel University’s LeBow School of Business
In this pre-event interview, we explore data integrity trends. Precisely CEO Josh Rogers and CMO Kevin Ruane, along with partners from Drexel University’s LeBow College, reveal key findings from the "2023 Data Integrity...
2023 Evolution of Data, Analytics and AI Part 2: Data Management Key Trends and Transformations in 2023
Join us in part 2 of "2023 Evolution of Data, Analytics, and AI" series, where we talk about data management key trends and transformations!
5 Expert Tips on How to Move from Data Strategy to Distributed Value Creation
In the world of data-driven business where change is the only constant, organizations are realizing something big: harnessing the power of data is no longer just a choice; it’s a strategic imperative.
Data Management for Enterprise Machine Learning – Aaron Butler, Energy Australia
With the focus often on producing a model that solves the use case, the operational aspect of data management is often overlooked within Machine Learning projects.
